





'''simple docstring'''




from ...configuration_utils import PretrainedConfig


lowercase__       : Any         =       {
    '''google/tapas-base-finetuned-sqa''': (
        '''https://huggingface.co/google/tapas-base-finetuned-sqa/resolve/main/config.json'''
    ),
    '''google/tapas-base-finetuned-wtq''': (
        '''https://huggingface.co/google/tapas-base-finetuned-wtq/resolve/main/config.json'''
    ),
    '''google/tapas-base-finetuned-wikisql-supervised''': (
        '''https://huggingface.co/google/tapas-base-finetuned-wikisql-supervised/resolve/main/config.json'''
    ),
    '''google/tapas-base-finetuned-tabfact''': (
        '''https://huggingface.co/google/tapas-base-finetuned-tabfact/resolve/main/config.json'''
    ),
}


class 					SCREAMING_SNAKE_CASE       (a__				):
     lowerCAmelCase						     =			'''tapas'''


     def __init__(		self		,      _UpperCAmelCase=3_0522		,      _UpperCAmelCase=768		,      _UpperCAmelCase=12		,      _UpperCAmelCase=12		,      _UpperCAmelCase=3072		,      _UpperCAmelCase="gelu"		,      _UpperCAmelCase=0.1		,      _UpperCAmelCase=0.1		,      _UpperCAmelCase=1024		,      _UpperCAmelCase=[3, 256, 256, 2, 256, 256, 10]		,      _UpperCAmelCase=0.02		,      _UpperCAmelCase=1e-1_2		,      _UpperCAmelCase=0		,      _UpperCAmelCase=10.0		,      _UpperCAmelCase=0		,      _UpperCAmelCase=1.0		,      _UpperCAmelCase=None		,      _UpperCAmelCase=1.0		,      _UpperCAmelCase=False		,      _UpperCAmelCase=None		,      _UpperCAmelCase=1.0		,      _UpperCAmelCase=1.0		,      _UpperCAmelCase=False		,      _UpperCAmelCase=False		,      _UpperCAmelCase="ratio"		,      _UpperCAmelCase=None		,      _UpperCAmelCase=None		,      _UpperCAmelCase=64		,      _UpperCAmelCase=32		,      _UpperCAmelCase=False		,      _UpperCAmelCase=True		,      _UpperCAmelCase=False		,      _UpperCAmelCase=False		,      _UpperCAmelCase=True		,      _UpperCAmelCase=False		,      _UpperCAmelCase=None		,      _UpperCAmelCase=None		,      **_UpperCAmelCase		,      ):

          '''simple docstring'''






          super().__init__(pad_token_id=_UpperCAmelCase		,      **_UpperCAmelCase)

          # BERT hyperparameters (with updated max_position_embeddings and type_vocab_sizes)
          __A		:					Dict						=			vocab_size
          __A		:					Tuple						=			hidden_size
          __A		:					Any						=			num_hidden_layers
          __A		:					int						=			num_attention_heads
          __A		:					Tuple						=			hidden_act
          __A		:					Tuple						=			intermediate_size
          __A		:					List[Any]						=			hidden_dropout_prob
          __A		:					int						=			attention_probs_dropout_prob
          __A		:					List[str]						=			max_position_embeddings
          __A		:					Optional[int]						=			type_vocab_sizes
          __A		:					str						=			initializer_range
          __A		:					List[str]						=			layer_norm_eps

          # Fine-tuning task hyperparameters
          __A		:					List[str]						=			positive_label_weight
          __A		:					List[Any]						=			num_aggregation_labels
          __A		:					Optional[Any]						=			aggregation_loss_weight
          __A		:					Tuple						=			use_answer_as_supervision
          __A		:					List[str]						=			answer_loss_importance
          __A		:					Any						=			use_normalized_answer_loss
          __A		:					Any						=			huber_loss_delta
          __A		:					Union[str, Any]						=			temperature
          __A		:					Tuple						=			aggregation_temperature
          __A		:					Optional[Any]						=			use_gumbel_for_cells
          __A		:					List[str]						=			use_gumbel_for_aggregation
          __A		:					Tuple						=			average_approximation_function
          __A		:					List[str]						=			cell_selection_preference
          __A		:					Dict						=			answer_loss_cutoff
          __A		:					Union[str, Any]						=			max_num_rows
          __A		:					Optional[Any]						=			max_num_columns
          __A		:					int						=			average_logits_per_cell
          __A		:					Optional[Any]						=			select_one_column
          __A		:					int						=			allow_empty_column_selection
          __A		:					List[Any]						=			init_cell_selection_weights_to_zero
          __A		:					int						=			reset_position_index_per_cell
          __A		:					Union[str, Any]						=			disable_per_token_loss

          # Aggregation hyperparameters
          __A		:					Optional[Any]						=			aggregation_labels
          __A		:					List[str]						=			no_aggregation_label_index

          if isinstance(self.aggregation_labels		,      _UpperCAmelCase):
               __A		:					Optional[Any]						=			{int(_UpperCAmelCase): v for k, v in aggregation_labels.items()}


import importlib
import os

import fsspec
import pytest
from fsspec import register_implementation
from fsspec.registry import _registry as _fsspec_registry

from datasets.filesystems import COMPRESSION_FILESYSTEMS, HfFileSystem, extract_path_from_uri, is_remote_filesystem

from .utils import require_lza, require_zstandard






def        snake_case__		(    lowerCamelCase_		):
							assert "mock" in _fsspec_registry
							assert "bz2" in _fsspec_registry






def        snake_case__		(    ):
							assert "mock" not in _fsspec_registry
							assert "bz2" in _fsspec_registry






def        snake_case__		(    ):
							A      :					List[Any]      		=					'''mock-s3-bucket'''
							A      :					Union[str, Any]      		=					F's3://{mock_bucket}'
							A      :					str      		=					extract_path_from_uri(lowerCamelCase_		)
							assert dataset_path.startswith('''s3://'''		) is False

							A      :					Tuple      		=					'''./local/path'''
							A      :					Tuple      		=					extract_path_from_uri(lowerCamelCase_		)
							assert dataset_path == new_dataset_path






def        snake_case__		(    lowerCamelCase_		):
							A      :					int      		=					is_remote_filesystem(lowerCamelCase_		)
							assert is_remote is True

							A      :					Dict      		=					fsspec.filesystem('''file'''		)

							A      :					Tuple      		=					is_remote_filesystem(lowerCamelCase_		)
							assert is_remote is False






@pytest.mark.parametrize('''compression_fs_class'''     ,				lowerCamelCase_		)
def        snake_case__		(    lowerCamelCase_     ,				lowerCamelCase_     ,				lowerCamelCase_     ,				lowerCamelCase_     ,				lowerCamelCase_     ,				lowerCamelCase_     ,				lowerCamelCase_		):
							A      :					List[str]      		=					{'''gzip''': gz_file, '''xz''': xz_file, '''zstd''': zstd_file, '''bz2''': bza_file, '''lz4''': lza_file}
							A      :					List[Any]      		=					input_paths[compression_fs_class.protocol]
							if input_path is None:
														A      :					int      		=					F'for \'{compression_fs_class.protocol}\' compression protocol, '
														if compression_fs_class.protocol == "lz4":
																					reason += require_lza.kwargs["reason"]
														elif compression_fs_class.protocol == "zstd":
																					reason += require_zstandard.kwargs["reason"]
														pytest.skip(lowerCamelCase_		)
							A      :					Dict      		=					fsspec.filesystem(compression_fs_class.protocol     ,				fo=lowerCamelCase_		)
							assert isinstance(lowerCamelCase_     ,				lowerCamelCase_		)
							A      :					str      		=					os.path.basename(lowerCamelCase_		)
							A      :					str      		=					expected_filename[: expected_filename.rindex('''.'''		)]
							assert fs.glob('''*'''		) == [expected_filename]
							with fs.open(lowerCamelCase_     ,				'''r'''     ,				encoding='''utf-8'''		) as f, open(lowerCamelCase_     ,				encoding='''utf-8'''		) as expected_file:
														assert f.read() == expected_file.read()






@pytest.mark.parametrize('''protocol'''     ,				['''zip''', '''gzip''']		)
def        snake_case__		(    lowerCamelCase_     ,				lowerCamelCase_     ,				lowerCamelCase_		):
							A      :					Union[str, Any]      		=					{'''zip''': zip_jsonl_path, '''gzip''': jsonl_gz_path}
							A      :					int      		=					compressed_file_paths[protocol]
							A      :					List[str]      		=					'''dataset.jsonl'''
							A      :					List[str]      		=					F'{protocol}://{member_file_path}::{compressed_file_path}'
							A		,		*A      :					List[Any]      		=					fsspec.get_fs_token_paths(lowerCamelCase_		)
							assert fs.isfile(lowerCamelCase_		)
							assert not fs.isfile('''non_existing_''' + member_file_path		)






@pytest.mark.integration
def        snake_case__		(    lowerCamelCase_     ,				lowerCamelCase_     ,				lowerCamelCase_     ,				lowerCamelCase_		):
							A      :					List[Any]      		=					hf_api.dataset_info(lowerCamelCase_     ,				token=lowerCamelCase_		)
							A      :					List[str]      		=					HfFileSystem(repo_info=lowerCamelCase_     ,				token=lowerCamelCase_		)
							assert sorted(hffs.glob('''*'''		)		) == [".gitattributes", "data"]
							assert hffs.isdir('''data'''		)
							assert hffs.isfile('''.gitattributes'''		) and hffs.isfile('''data/text_data.txt'''		)
							with open(lowerCamelCase_		) as f:
														assert hffs.open('''data/text_data.txt'''     ,				'''r'''		).read() == f.read()






def        snake_case__		(    ):
							A      :					Tuple      		=					'''bz2'''

							# Import module
							import datasets.filesystems

							# Overwrite protocol and reload
							register_implementation(lowerCamelCase_     ,				lowerCamelCase_     ,				clobber=lowerCamelCase_		)
							with pytest.warns(lowerCamelCase_		) as warning_info:
														importlib.reload(datasets.filesystems		)

							assert len(lowerCamelCase_		) == 1
							assert (
							    str(warning_info[0].message		)
							    == F'A filesystem protocol was already set for {protocol} and will be overwritten.'
							)






